scholarly journals Genotype-environment interaction and developmental regulation in Arabidopsis thaliana I. Inbred lines; description

Heredity ◽  
1970 ◽  
Vol 25 (4) ◽  
pp. 609-627 ◽  
Author(s):  
Jane M Westerman ◽  
M J Lawrence
1975 ◽  
Vol 191 (1104) ◽  
pp. 387-411 ◽  

The responses of two characters, number of sternopleural chaetae and total yield of offspring (which depends on the mother’s genotype), to change in the temperature at which the flies were raised and type of culture container in which they bred were followed in the two inbred lines, Wellington (Well) and Samarkand (Sam). In respect of chaeta number Well was more sensitive to change of the environment than Sam, which furthermore responded in the opposite direction to Well. In respect of yield of offspring the two lines responded similarly. The genetic control of these responses to environmental change was investigated by using the eight substitution lines which comprise all the possible true breeding combinations of the three major chromosomes (X, II and III) from Well and Sam. Two experiments were carried out, the first a diallel experiment at three temperatures (18, 21.5 and 25 °C), and the second an experiment in which the eight lines were raised in nine environments comprising all combinations of the three temperatures and three types of culture. Chaeta number changes more with temperature than with type of culture, whereas the reverse is true of yield of offspring. In respect of chaeta number the genes chiefly responsible for response to environmental change are borne on a different chromosome (II) than those chiefly responsible for variation in mean chaeta number (III), and there are indications of a similar situation in respect of yield of offspring. It is concluded that different characters are separately adjustable by selection in their responses to enviromental change, that sensitivity of a character to environmental change is adjustable separately from mean expression of the character, and that the detailed patterns of response to a range of environments (e. g. temperatures) are separable from the magnitude of the overall change induced by these environments.


1981 ◽  
Vol 23 (1) ◽  
pp. 141-149 ◽  
Author(s):  
M. Luisa Vanelli ◽  
Carlo Pancaldi ◽  
Rita Alicchio ◽  
Domenico Palenzona

Genetic variability and growth pattern of metric traits were studied in inbred lines of Lebistes reticulatus (Peters) obtained by crossing full sibs in three generations. Sub-sublines with different growth rates of body length and body weight were identified; on the whole inbred population a genetical analysis was performed for both traits at different ages on raw data and on data adjusted for growth rate regression. Both analyses reveal the presence of a great amount of genotype—environment interaction and of a certain amount of genetic variation for body traits. The differences concerning the genetic components of variation observed in the two analyses within each population indicate an influence of the different growth rates of sub-sublines on the detection of genetic variability.


1984 ◽  
Vol 26 (3) ◽  
pp. 331-333
Author(s):  
Maria Luisa Vanelli ◽  
Gabriella Rocchetta ◽  
Carlo Pancaldi

The model of K. Mather is applied to partition the mean phenotypic expression of the "size" and "shape" traits during the growth in inbred lines and their F1 generations of Poecilia reticulata. In particular, the dynamics of the environmental and interaction components during growth have been analyzed. The results obtained for the "shape" show that the genotype – environment interaction is proportional to the effect of the environment so that the genetic differences evaluated for this trait are amplified in the last age considered. On the other hand, the lack of this kind of relationship, estimated for the size trait, and a greater weight of the environmental component, suggest that it is not possible to identify a particular age at which genetic differences between lines could be more easily detectable for this trait within the range analyzed.Key words: Poecilia, quantitative.


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